π MSc Data Science (Distinction) | Kingston University London π Data Analysis β’ Machine Learning β’ Reinforcement Learning β’ Financial Systems
I'm a Data Science graduate passionate about building data-driven solutions for real-world problems. My interests span machine learning, reinforcement learning, data analytics, and quantitative finance, with a focus on applying analytical methods to trading systems, forecasting, and decision support.
- Built a PPO-based trading agent for BTCUSD and EURUSD
- Integrated market prices, news signals, macroeconomic indicators and CNN embeddings
- Performed feature ablation and cross-asset robustness testing
- Evaluated using returns, Sharpe ratio, drawdown and trading metrics
- Fully simulation-based implementation
- Designed a normalized SQL database for a global shipping system
- Modeled customers, vessels, routes, cargo, bookings and logistics operations
- Implemented constraints, relationships and validation queries
π Interests
β’ Machine Learning Applications β’ Feature Engineering β’ Financial Market Modelling
- β’ Quantitative Finance β’ Reinforcement Learning
πΌ LinkedIn: https://www.linkedin.com/in/gbemileke-micah
π§ Email: micahleke@gmail.com
π GitHub: https://github.com/Lekssz